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MCI GPP:为2001-2023年确保全球模型和气候独立的初级生产率
Jiabin Pu1, Yuhe Chang1, Si Gao2
1Department of Earth and Environment, Boston University, Boston, MA, 02215, USA.
Scientific data
|December 11, 2025
概括
这项研究通过改进总初级生产率 (GPP) 建模来增强全球碳循环的理解. 结合二氧化碳受精效应和使用一种新的方法,它为气候研究提供了更准确的GPP数据集.
科学领域:
- 地球系统科学 地球系统科学
- 生态生态学 生态生态学
- 气候科学 气候科学
背景情况:
- 总初级生产率 (GPP) 对全球碳循环至关重要.
- 关于将二氧化碳受精效应 (CFE) 和树冠特征纳入GPP模型存在争论.
- 以前的模型缺乏对CFE和结构特征的全面评估.
研究的目的:
- 系统地评估CFE和树冠结构特征对GPP估计的影响.
- 开发一种新的,与模型和气候无关的 (MCI) GPP产品.
- 为碳气候反研究提供准确和可靠的GPP数据集.
主要方法:
- 在GPP建模中评估了CFE和树冠结构特征.
- 两叶模型 (TLM) 与生产效率模型 (PEM) 的比较.
- 开发了一个MCI GPP产品,使用随机森林回归和时空张量模型与12个GPP数据集.
主要成果:
- CFE显著提高了GPP估计的准确性,并改变了长期趋势.
- TLM证明了与PEM相似的准确性.
- 据MCI GPP产品估计,全球GPP为141.9 ± 4.0 Pg C yr−1 (2001-2023),显示每十年增加5.7 Pg C yr−1.
- 在对 AmeriFlux 数据 (R2=0.72,RMSE=1.86 g C m−2 d−1) 的验证中,MCI GPP 的表现优于现有的全球产品 (MOD17,GOSIF,Fluxcom).
结论:
- 对于准确的GPP建模和了解碳循环动态,CFE至关重要.
- 开发的MCI GPP产品在现有数据集上提供了显著的进步.
- 新的GPP数据集是推动碳气候反研究的宝贵资源.
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